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What is Raptor Services?

Unify your customer interactions across different platforms and channels to create a tailored experience at every touchpoint. By leveraging Raptor’s Merchandising Center, you can convert your recommendation modules into effective advertising spaces on your chosen channels. This method boosts the visibility of particular products, placing them strategically in front of customers to blend relevance with promotional efforts. Furthermore, you can provide instant personalized product suggestions that elevate the shopping encounter to a new level. Consequently, this tactic has the potential to increase basket sizes, enhance order values, improve revenue per visit, and significantly enrich the overall customer experience. Additionally, dispatching highly customized emails that include product recommendations specific to each customer can further deepen customer engagement and foster loyalty over time. This comprehensive approach not only meets customer needs but also positions your brand as a trusted partner in their shopping journey.

What is Amazon Personalize?

Amazon Personalize enables developers to build applications that leverage the sophisticated machine learning technology behind Amazon.com’s real-time personalized recommendations, eliminating the need for specialized machine learning knowledge. This service streamlines the development of applications that can deliver a wide array of customized experiences, including personalized product recommendations, unique product rankings, and tailored marketing initiatives. As a completely managed machine learning solution, Amazon Personalize moves beyond conventional static recommendation systems by creating, refining, and deploying distinct ML models that yield highly specific recommendations across various industries, including retail, media, and entertainment. The platform efficiently manages the necessary infrastructure and oversees the entire machine learning process, which encompasses data processing, feature selection, and the identification of the best algorithms, along with model training, optimization, and hosting. This comprehensive approach allows developers to concentrate on improving user engagement rather than navigating the intricacies of machine learning deployment. Consequently, Amazon Personalize serves as a powerful tool that not only simplifies the recommendation process but also enhances customer satisfaction through more relevant interactions.

Media

Media

Integrations Supported

Acoustic Campaign
Adjust
Agillic
Apsis One
BigCommerce
Campaign Monitor
Drupal
Google
IBM Watson
Klevu
Magento
Mailchimp
Salesforce
Sitecore
Sleeknote
Umbraco
dotdigital Engagement Cloud

Integrations Supported

AWS App Mesh
HiConversion

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Raptor Services

Date Founded

2013

Company Location

Denmark

Company Website

www.raptorservices.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/personalize/

Categories and Features

Categories and Features

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